Low accuracy using CRNN+BiLSTM+CTC for OCR — what should I try next?

I am trying to extract all the text from an image (e.g., medicine packaging).
I used a CRNN + BiLSTM + CTC model trained on 100 images, but the validation accuracy was poor.

What model architecture would be better suited for this?
.

Any guidance or suggestions will be helpful.

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Maybe 100 images are not sufficient for your model to get a decent accuracy :thinking:

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